Does Information Exchange Affect Cross‐border Tax Avoidance? Evidence from the Common Reporting Standard
Muhan Wang,
Kezhong Zhang,
Sihan Gao
Abstract:Using panel data from 2012 to 2020 for publicly traded Chinese companies, we explored the efficacy in mitigation of tax information asymmetry to combat profit shifting and transnational tax avoidance. Our empirical analysis revealed that, after the implementation of the inaugural multilateral automatic information exchange system known as the Common Reporting Standard, there was a statistically significantly increase in the effective tax rate by 1.4 percentage points, accompanied by an increase in instances of… Show more
Set email alert for when this publication receives citations?
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.